Science is witnessing the biggest growth and production of data in history. Approximately 2.5 million scientific journal articles are published a year around the world, and that keeps climbing. AXIOS brought this interesting information to our attention in their article, “When scientists get information overload.”
Though science is evolving, the real problem is the information overload that has resulted, and that holds the potential to stall or stop progress. Artificial intelligence (AI) and faster computing are allowing scientists to tackle new and bigger challenges. However, there is some housekeeping that has to take place due to too much data.
We all know about peer review, but a more informal practice is that scientists spend a lot of time reading each others’ work. In order to do useful research, they need to know what else is going on. But the sheer volume means no one can read all the relevant work or determine what are the best papers. Someone has to manage all the data.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
